工况模态分析在低频振荡辨识中的应用初探
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摘要
工况模态分析是结构动力学工程模态辨识的前沿课题,初步探讨了这一概念应用于电力系统低频振荡特性在线辨识的可能性。论述了电力系统低频振荡和一般振动力学数学模型的相似性,利用随机子空间算法辨识低频振荡的频率、阻尼和振型。随机子空间算法无须人工激励电力系统,利用日常负荷的随机波动激励系统,通过相量测量单元(PMU)采集发电机功角摇摆轨迹数据,识别电力系统振荡特征参数。在Matlab仿真平台上,通过对一个3机电力系统的实例分析,证明所提方法对振荡频率、阻尼比和振型识别的有效性。
Operational modal analysis is an advanced technology in the field of dynamic structure mechanics,which is proposed to identify low frequency oscillation characteristics in the power systems.In this paper,stochastic subspace method is used to identify frequency,damping ratio,and mode shape of power system oscillations based on the author's argument that there is an identical mathematic modal between general vibration mechanics and power system oscillation.During normal random load excitation instead of artificial exciting power system,the proposed algorithm can abstract oscillation parameters with generator angle swing information obtained from PMU.A simulation of 3-mechine power systems based on MATLAB shows the validity of the proposed method.
Operational modal analysis is an advanced technology in the field of dynamic structure mechanics,which is proposed to identify low frequency oscillation characteristics in the power systems.In this paper,stochastic subspace method is used to identify frequency,damping ratio,and mode shape of power system oscillations based on the author's argument that there is an identical mathematic modal between general vibration mechanics and power system oscillation.During normal random load excitation instead of artificial exciting power system,the proposed algorithm can abstract oscillation parameters with generator angle swing information obtained from PMU.A simulation of 3-mechine power systems based on MATLAB shows the validity of the proposed method.
引文
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[9]ZHOU Ning.Initial Results in Power System Identifica tion From Injected Probing Signals Using a Subspace Method[J].IEEE Trans on Power Syst,2006,21(3):1296-1302.
[10]Wies R W,Pierre J W,Trudnowski D J.Use of ARMA Block Processing for Estimating Stationary Low-frequency Electromechanical Modes of Power Systems[J].IEEE Trans on Power Syst,2003,18(2):167-173.
[2]胡震涛.船舶结构动载试验的基于参考测点随机子空间法[J].船舶工程,2007,29(6):74-78.HU Zhen-tao.Method of Reference Based on Stochastic Subspace Identification is Discussed by Dynamic Load Testing of Ship Structure[J].Ship Engineering,2007,29(6):74-78.
[3]俞云书.结构模态试验分析[M].北京:宇航出版社,2000.
[4]常军,张启伟,孙利民.随机子空间方法在桥塔模态参数识别中的应用[J].地震工程与工程振动,2006,26(5):183-188.CHANG Jun,ZHANG Qi-wei,SUN Li-min.Application of Stochastic Subspace Identification in Modal Parameter Identification of Bridge Tower[J].Earthquake Engineering and Engineering Vibration,2006,26(5):183-188.
[5]Kundur P.Power System Stability and Control[M].New York:McGraw-Hill,1994.
[6]薛禹胜,徐伟.关于广域测量系统及广域控制保护系统的评述[J].电力系统自动化,2007,31(15):1-5.XUE Yu-sheng,XU Wei.A Review of Wide Area Measurement System and Wide Area Control System[J].Automation of Electric Power Systems,2007,31(15):1-5.
[7]鞠平,谢欢,孟远景.基于广域测量信息在线辨识低频振荡[J].中国电机工程学报,2005,25(21):56-60.JU Ping,XIE Huan,MENG Yuan-jing.Online Identification of Low-frequency Oscillations Based on Wide-area Measurements[J].Proceedings of the CSEE,2005,25(21):56-60.
[8]郝正航,李少波.白噪声激励下的低频振荡模态参数辨识方法[J].电力系统自动化,2007,31(15):26-30.HAO Zheng-hang,LI Shao-bo.A White Noise Excitation Based Identification Method for Low-frequency Oscillation Modal Parameters[J].Automation of Electric Power Systems,2007,31(15):26-30.
[9]ZHOU Ning.Initial Results in Power System Identifica tion From Injected Probing Signals Using a Subspace Method[J].IEEE Trans on Power Syst,2006,21(3):1296-1302.
[10]Wies R W,Pierre J W,Trudnowski D J.Use of ARMA Block Processing for Estimating Stationary Low-frequency Electromechanical Modes of Power Systems[J].IEEE Trans on Power Syst,2003,18(2):167-173.
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